Presentation 2021-03-03
[招待講演]株価の残差リターンに注目した深層学習ポートフォリオ最適化
Kentaro Imajo, Kentaro Minami, Katsuya Ito, Kei Nakagawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Developing a profitable trading strategy is a central problem in the financial industry. In this presentation, we develop a technique for portfolio construction based on residual returns, which is a financial quantity obtained by hedging out common market factors in stock market. Our proposed method extracts information about residual factors by a simple spectral decomposition method. We also propose a novel neural network architecture that reflects well-known scale invariance structures of financial time series. We show the effectiveness of our proposed method by numerical experiments on U.S. and Japanese stock market data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) finance / deep learning / time-series prediction
Paper # IBISML2020-46
Date of Issue 2021-02-23 (IBISML)

Conference Information
Committee IBISML
Conference Date 2021/3/2(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Organized and general sessions on machine learning
Chair Ichiro Takeuchi(Nagoya Inst. of Tech.)
Vice Chair Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo)
Secretary Masashi Sugiyama(AIST) / Koji Tsuda(NTT)
Assistant Atsuyoshi Nakamura(Hokkaido Univ.) / Shigeyuki Oba(Miidas)

Paper Information
Registration To Technical Committee on Infomation-Based Induction Sciences and Machine Learning
Language JPN-ONLY
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English)
Sub Title (in English)
Keyword(1) finance
Keyword(2) deep learning
Keyword(3) time-series prediction
1st Author's Name Kentaro Imajo
1st Author's Affiliation Preferred Networks, Inc.()
2nd Author's Name Kentaro Minami
2nd Author's Affiliation Preferred Networks, Inc.()
3rd Author's Name Katsuya Ito
3rd Author's Affiliation Preferred Networks, Inc.()
4th Author's Name Kei Nakagawa
4th Author's Affiliation Nomura Asset Management, Co., Ltd.()
Date 2021-03-03
Paper # IBISML2020-46
Volume (vol) vol.120
Number (no) IBISML-395
Page pp.pp.38-38(IBISML),
#Pages 1
Date of Issue 2021-02-23 (IBISML)